Delivering desktop security at the touch of a finger with MSO 1300 Series
The MSO 300 Series is designed for fingerprint enrollment for civil and corporate use. It is a family of robust, high-quality optical fingerprint sensors that capture and process fingerprints in high definition. It is designed to cope with fingerprint registration of the young, old, and manual laborers. With an internal database capable of handling 5,000 users, the MSO 300 Series is ideal for a wide range of applications: population enrollment, border control, access control to sensitive IT systems, in-store or online payments.
Along with class-leading image acquisition certified to FBI PIV IQS* and STQC** standards, each device provides biometric template coding and matching thanks to its embedded FIPS 201*** and MINEX**** compliant algorithms. As options, the range also offers an enhanced, patented optronic liveness detection function (Common Criteria certified) with the MSO 301, and security features to protect users’ data.
The MSO 300 Series can easily be integrated into various applications thanks to the MSO SDK, available for Windows, Linux and Android platforms.
*Image Quality Specifications
**Standardisation Testing and Quality Certification Directorate: an office of the Government of India providing quality assurance services in the area of Electronics and IT.
***US federal government standard that specifies Personal Identity Verification (PIV) requirements for federal employees and contractors.
****Interoperability test used to establish compliance of template generators and template matchers for the U.S. Government’s Personal Identity Verification (PIV) program.
A tough metallic casing protects the field-proven optical fingerprint sensor of the MSO 300 devices, which have been widely deployed in harsh environments (mines, seaports, etc.).
The MSO 300 Series carries out both fingerprint enrollment and comparison (1:1 authentication and up to 1:5000 identification).
With its 23mm x 23mm sensing area, the MSO 300 Series offers excellent fingerprint capture. Images are processed on-device by top class coding and matching algorithms.
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